Bangladesh Army International University of Science and Technology

Cumilla, Bangladesh

BAIUST

Md. Sabbir Ahmed Mayen

Lecturer (Statistics), Department of Business Administration

sabbir.dba@baiust.ac.bd

Biostatistics & Epidemiology | Systematic Reviews | Simulation | Pooled Complex Survey Analysis | Multilevel Modeling | Bayesian Statistics | Econometrics | Machine Learning

M.S. in Statistics (Thesis-Based)
2021 – 2023
Department of Statistics, Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh
Distinction
Thesis: Evaluation of Generalized Statistical Linear Models for Analyzing Pooled Complex Surveys: A Simulation Study

B.Sc. (Hons.) in Statistics
2017 – 2021
Department of Statistics, Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh
2nd Position

Lecturer (Statistics)
April 2026 – Present
Department of Business Administration
Bangladesh Army International University of Science and Technology (BAIUST), Cumilla, Bangladesh

Lecturer (Contractual, Statistics)
September 2025 – December 2025
Department of Software Engineering
Daffodil International University, Savar, Dhaka, Bangladesh

Adjunct Lecturer (Statistics)
August 2024 – December 2024
Department of Business Administration
North East University Bangladesh (NEUB), Sylhet, Bangladesh

Research Assistant (RA)
July 2020 – November 2023
SUST Research Center
Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh

Publications

Mayen, M. S. A., Nisha, S. N., Afrin, S., et al. Functional difficulty among women aged 18–49 years in 22 low- and middle-income countries: Multiple Indicator Cluster Surveys, 2017–2022. Journal of Epidemiology and Global Health (Q1, Impact Factor: 3.1). https://doi.org/10.1007/s44197-026-00551-w

Banik, R., Noor, S. T. A., Siddique, A. B., Mayen, M. S. A., Saha, A., Ashiquzzaman, H., Hossain, L., Sayeed, A., Saha, N., Al-Zubayer, M. A., Kader, M. L., Akter, E., Siddique, M. A. B., Ahmed, A., & Raza, S. Assessing changes in the availability and readiness of health facilities to provide modern family planning services in Bangladesh: Insights from Bangladesh Health Facility Surveys, 2014 and 2017. PLOS ONE (Q1, Impact Factor: 2.6), 20(11), e0334520. https://doi.org/10.1371/journal.pone.0334520

Dey, D., Haque, M. S., Islam, M. M., et al. The proper application of logistic regression models in complex survey data: A systematic review. BMC Medical Research Methodology (Q1, Impact Factor: 3.4), 25, 15. https://doi.org/10.1186/s12874-024-02454-5

Mayen, M. S. A., Nisha, S. N., Afrin, S., et al. Evaluating current methodological practices and issues in pooling complex surveys: A systematic review. BMC Medical Research Methodology (Q1, Impact Factor: 3.4), 24, 279. https://doi.org/10.1186/s12874-024-02400-5